
Intelligent systems that work, are useful, and make economic sense.
We are an academic lab that studies theory, algorithms, and applications of Artificial Intelligence, Machine Learning, and Robotics. We are part of the School of Computer Science at Carnegie Mellon University. By constantly exposing our work to application domain specific constraints and challenges that occur in the real world, we identify gaps in the science of AI and our fundamental research focuses on developing new methods to improve the application of AI in practice.
Areas where we are making an impact:
Latest News
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Auton Lab turns 29 years old
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Survival Analysis work featured on ML@CMU Blog
auton-survival is an open source package for regression, counterfactual estimation, evaluation and phenotyping with censored time-to-events. Blog Post
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Symposium on AI for Predictive Maintenance
The Auton Lab is organizing a AAAI Fall Symposium on AI for Predictive Maintenance. Submission deadline is August 27th. The event takes place in Arlington, VA November 17-19.
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Auton Lab Tracking COVID-19 Using Viral Levels in Wastewater
CMU AI researchers team up with Allegheny County Health Department to help predict virus surges.
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$10.5M Army Contract to CMU Lab Will Expand Use of AI in Predictive Maintenance
The School of Computer Science’s Auton Lab will use $10.5 million from the U.S. Army to lead a multi-institution effort to extend the capabilities of artificial intelligence in predictive maintenance.
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Auton lab provides analytic support to Allegheny County Health Department's covid mitigation efforts
The Auton Lab’s work with the Allegheny County Health Department (ACHD) was featured at WPXI media and in the official Allegheny County Press release. The Auton lab is providing analytics to detect and forecast covid using microbiological testing of wastewater and developing a systematic analysis capability that this local public health office will use in daily practice.
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EDS-HAT featured nationally
Our Enhanced Detection System for Healthcare-Associated Transmission algorithm is making news following a retrospective impact study led by our collaborators at the University of Pittsburgh. By coupling machine learning with whole genome sequencing, CMU and University of Pittsburgh School of Medicine scientists have greatly improved the quick detection of infectious disease outbreaks within a hospital setting.
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Auton Lab turns 28 years old
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Marinus Analytics places in XPrize competition
CMU spinoff Marinus Analytics won third place in the IBM XPrize for their work on counter-human-trafficking! Marinus Analytics has worked closely with the Auton Lab in the past in developing their methodology. See the full story on the CMU News Site.